Abstract

Empirical methods in Natural Language Processing (NLP) and Machine Translation (MT) have become mainstream in
the research field. Accordingly, it is important that the tools and techniques in these paradigms be taught to potential
future researchers and developers in University courses. While many dedicated courses on Statistical NLP can be found,
there are few, if any courses on Empirical Approaches to MT. This paper presents the development and assessment of
one such course as taught to final year undergraduates taking a degree in NLP.